# Irfan Sadiq Rahat

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/irfan-sadiq-rahat/

## Facts

| Field | Value |
| --- | --- |
| Citations | 485 |
| Field | Smart Agriculture and AI |
| h-index | 13 |
| i10-index | 14 |
| Last Known Institution | SRM University |
| OpenAlex ID | https://openalex.org/A5092598780 |
| ORCID iD | 0009-0003-3254-4846 |
| Works | 38 |

## Researcher papers

- [Water Quality Assessment Through Predictive Machine Learning](https://scholariq.org/papers/water-quality-assessment-through-predictive-machine-learning/)
- [Potato Leaf Disease Recognition and Prediction using Convolutional Neural Networks](https://scholariq.org/papers/potato-leaf-disease-recognition-and-prediction-using-convolutional-neural/)
- [Advanced Deep Learning Models for Corn Leaf Disease Classification: A Field Study in Bangladesh](https://scholariq.org/papers/advanced-deep-learning-models-for-corn-leaf-disease-classification-a-field-study/)
- [Deciphering Microorganisms through Intelligent Image Recognition: Machine Learning and Deep Learning Approaches, Challenges, and Advancements](https://scholariq.org/papers/deciphering-microorganisms-through-intelligent-image-recognition-machine/)
- [Identification and Categorization of Yellow Rust Infection in Wheat through Deep Learning Techniques](https://scholariq.org/papers/identification-and-categorization-of-yellow-rust-infection-in-wheat-through-deep/)
- [Unraveling the Heterogeneity of Lower-Grade Gliomas: Deep Learning-Assisted Flair Segmentation and Genomic Analysis of Brain MR Images](https://scholariq.org/papers/unraveling-the-heterogeneity-of-lower-grade-gliomas-deep-learning-assisted-flair/)
- [Advanced neural network architectures for tomato leaf disease diagnosis in precision agriculture](https://scholariq.org/papers/advanced-neural-network-architectures-for-tomato-leaf-disease-diagnosis-in/)
- [Advancing breast ultrasound diagnostics through hybrid deep learning models](https://scholariq.org/papers/advancing-breast-ultrasound-diagnostics-through-hybrid-deep-learning-models/)
- [Using Deep Learning and Machine Learning: Real-Time Discernment and Diagnostics of Rice-Leaf Diseases in Bangladesh](https://scholariq.org/papers/using-deep-learning-and-machine-learning-real-time-discernment-and-diagnostics/)
- [An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population](https://scholariq.org/papers/an-all-inclusive-machine-learning-and-deep-learning-method-for-forecasting/)
- [TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies](https://scholariq.org/papers/tumorsagenet-cnn-hybrid-architecture-enables-accurate-detection-of-mango-leaf/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Researcher university

- [SRM University](https://scholariq.org/institutions/srm-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.